Everyday you make really difficult inventory decisions.
The impact of AI on retail is clearly a major topic of discussion for many merchandisers on the hunt for new tech to help make their job of managing inventory and forecasting demand better, faster and much more accurate than ever before.
At the end of the day, your goals revolve around improving revenue — and yet, so much of it is tied up in unsold product, inefficient processes, or bad merchandising decisions.
If a technology existed with the sole purpose of helping you meet these goals, why wouldn't you use it? Many retailers are in a dire position because of this failure to adapt and evolve with the tools available to meet the customer-centric demand driving the market today.
And, at the moment, machine learning and advanced analytics are the tools making it possible to do just that. Retailers like Aéropostale are taking steps to make better investments in the right products with their customer in mind by incorporating advanced analytics into their merchandising process.
Check out what Karen Walter, Aéropostale's SVP of Planning & Allocation, has to say in our latest webcast Q&A (transcript below!) about how and why her team adopted analytics in today's retail environment.Read More